James J. Freeman

653 total citations
27 papers, 521 citations indexed

About

James J. Freeman is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis and Oncology. According to data from OpenAlex, James J. Freeman has authored 27 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cancer Research, 6 papers in Health, Toxicology and Mutagenesis and 5 papers in Oncology. Recurrent topics in James J. Freeman's work include Carcinogens and Genotoxicity Assessment (7 papers), Cassava research and cyanide (4 papers) and Effects and risks of endocrine disrupting chemicals (3 papers). James J. Freeman is often cited by papers focused on Carcinogens and Genotoxicity Assessment (7 papers), Cassava research and cyanide (4 papers) and Effects and risks of endocrine disrupting chemicals (3 papers). James J. Freeman collaborates with scholars based in United States, Netherlands and United Kingdom. James J. Freeman's co-authors include Aleck Borman, Russell Hilf, Inge M. Michel, Eileen P. Hayes, Richard H. McKee, Mark J. Nicolich, R. A. J. Priston, Laura Keller, Jacqueline H. Smith and Charles F. Morris and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Emerging infectious diseases and Biochemical Pharmacology.

In The Last Decade

James J. Freeman

26 papers receiving 467 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James J. Freeman United States 14 152 140 113 60 35 27 521
Diane J. Abernethy United States 14 170 1.1× 250 1.8× 169 1.5× 45 0.8× 23 0.7× 24 467
M Ohshima Japan 13 139 0.9× 149 1.1× 166 1.5× 33 0.6× 33 0.9× 31 608
Miriam C. Poirier United States 10 166 1.1× 370 2.6× 352 3.1× 65 1.1× 19 0.5× 11 687
Ine Hassing Netherlands 14 210 1.4× 65 0.5× 107 0.9× 52 0.9× 22 0.6× 23 739
David La United States 15 150 1.0× 251 1.8× 309 2.7× 50 0.8× 19 0.5× 30 713
Alessandra Verdina Italy 17 219 1.4× 293 2.1× 315 2.8× 54 0.9× 35 1.0× 42 815
T B Starr United States 10 192 1.3× 243 1.7× 219 1.9× 57 0.9× 11 0.3× 13 583
A. Searle United Kingdom 12 56 0.4× 43 0.3× 182 1.6× 56 0.9× 36 1.0× 30 607
Abby Jacobs United States 7 110 0.7× 207 1.5× 137 1.2× 48 0.8× 14 0.4× 7 401
M. Concepción García López Mexico 4 190 1.3× 251 1.8× 161 1.4× 107 1.8× 11 0.3× 5 540

Countries citing papers authored by James J. Freeman

Since Specialization
Citations

This map shows the geographic impact of James J. Freeman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by James J. Freeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James J. Freeman more than expected).

Fields of papers citing papers by James J. Freeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James J. Freeman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James J. Freeman. The network helps show where James J. Freeman may publish in the future.

Co-authorship network of co-authors of James J. Freeman

This figure shows the co-authorship network connecting the top 25 collaborators of James J. Freeman. A scholar is included among the top collaborators of James J. Freeman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James J. Freeman. James J. Freeman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Clark, Charles R., Richard H. McKee, James J. Freeman, et al.. (2013). A GHS-consistent approach to health hazard classification of petroleum substances, a class of UVCB substances. Regulatory Toxicology and Pharmacology. 67(3). 409–420. 25 indexed citations
3.
Clark, Charles R., Donald M. Burnett, Craig M. Parker, et al.. (2011). Asphalt fume dermal carcinogenicity potential: I. dermal carcinogenicity evaluation of asphalt (bitumen) fume condensates. Regulatory Toxicology and Pharmacology. 61(1). 9–16. 32 indexed citations
4.
McKee, Richard H., et al.. (2011). Paving Asphalt Products Exhibit a Lack of Carcinogenic and Mutagenic Activity. International Journal of Toxicology. 30(5). 492–497. 3 indexed citations
5.
Freeman, James J., et al.. (2004). Results of Chronic Dietary Toxicity Studies of High Viscosity (P70H and P100H) White Mineral Oils in Fischer 344 Rats. Toxicologic Pathology. 32(4). 439–447. 30 indexed citations
6.
Freeman, James J., et al.. (2002). A freshman design and engineering tools course. 1. 2a2.15–2a2.17. 3 indexed citations
7.
Waterman, Stacey J., Laura Keller, James J. Freeman, et al.. (2001). Two-generation reproduction studies in Rats fed di-isodecyl phthalate. Reproductive Toxicology. 15(2). 153–169. 20 indexed citations
8.
Waterman, Stacey J., Laura Keller, James J. Freeman, et al.. (2000). Two-generation reproduction study in rats given di-isononyl phthalate in the diet. Reproductive Toxicology. 14(1). 21–36. 47 indexed citations
9.
Rhodes, Luther V., Cinnia Huang, Angela J. Sanchez, et al.. (2000). Hantavirus Pulmonary Syndrome Associated with Monongahela Virus, Pennsylvania. Emerging infectious diseases. 6(6). 616–621. 28 indexed citations
10.
Walborg, Earl F., et al.. (1998). Short-Term Biomarkers of Tumor Promotion in Mouse Skin Treated with Petroleum Middle Distillates. Toxicological Sciences. 45(2). 137–145. 7 indexed citations
11.
Morris, Charles F., et al.. (1995). Comparative 90-Day Feeding Study with Low-Viscosity White Mineral Oil in Fischer-344 and Sprague-Dawley-Derived CRL:CD Rats. Toxicologic Pathology. 23(1). 26–33. 48 indexed citations
12.
Freeman, James J., et al.. (1990). A 90-Day Toxicity Study of the Effects of Petroleum Middle Distillates on the Skin of C3H Mice. Toxicology and Industrial Health. 6(3-4). 475–491. 16 indexed citations
13.
Freeman, James J. & Eileen P. Hayes. (1988). Microsomal metabolism of acetonitrile to cyanide. Biochemical Pharmacology. 37(6). 1153–1159. 17 indexed citations
14.
Freeman, James J., et al.. (1988). Experimental contact sensitization with 3,4,5‐trichloropyridazine. Contact Dermatitis. 18(5). 259–262. 1 indexed citations
15.
Freeman, James J. & Eileen P. Hayes. (1987). Evidence for the microsomal metabolism of glycolonitrile. Biochemical Pharmacology. 36(1). 184–187. 17 indexed citations
16.
Freeman, James J. & Eileen P. Hayes. (1985). Acetone potentiation of acute acetonitrile toxicity in rats. Journal of Toxicology and Environmental Health. 15(5). 609–621. 15 indexed citations
17.
Nickerson, Peter A., James J. Freeman, & Alexander C. Brownie. (1976). Effect of testosterone propionate on the ultrastructure of the preputial gland in the rat. Cells Tissues Organs. 94(4). 481–489. 5 indexed citations
18.
Hilf, Russell, et al.. (1966). Effect of hydroxyurea and related compounds on HMC mammary tumor growth and nucleic acids in Fischer rats.. PubMed. 26(11). 2286–91. 6 indexed citations
19.
Hilf, Russell, James J. Freeman, Inge M. Michel, & Aleck Borman. (1964). CHARACTERIZATION OF A TRANSPLANTABLE LACTATING MAMMARY TUMOR: ENDOCRINOLOGICAL, MORPHOLOGICAL, AND BIOCHEMICAL ASPECTS.. PubMed. 24. 812–23. 15 indexed citations
20.
Hilf, Russell, et al.. (1963). Comparative Biochemistry of Three Transplantable Mammary Tumors as Influenced by Steroid Therapy<xref ref-type="fn" rid="FN2">2</xref><xref ref-type="fn" rid="FN3">3</xref>. JNCI Journal of the National Cancer Institute. 31. 541–55. 13 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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